A nice software for data analytics!
March 23, 2023

A nice software for data analytics!

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Modules Used

  • IBM SPSS Statistics
  • IBM SPSS Data Collection
  • IBM SPSS Modeler
  • IBM Analytical Decision Management

Overall Satisfaction with IBM SPSS Statistics

I work in a research project which is based on the clinical trial (RCT) in public health. This project collects data of various trial participants, especially men and women. The data includes various socio-demographic information, such as; age, gender, marital status, work status, place of residence (rural/urban), city, state and components of wealth index. In addition to socio-demographic information, the data also includes information on bio-chemical characteristics of the participants. I use IBM SPSS Statistics in order to clean, edit, labelling of variables and data analytics. Pros of IBM SPSS Statistics · Easy to handle without specific training · The visualization of data through various statistical graphs (such as; bar-diagram, pie-chart, scatter plot and other graphs) is easier . Testing of various statistical hypothesis is easier using mouse based options · The software also provides options to check and remove missing values · One can also do predictive modeling using IBM SPSS Statistics such as; linear regression, logistics regression, multinomial regression Cons of IBM SPSS Statistics · mostly works on in-built functions within the software, so an advanced analysis, such as; multivariate decomposition, non-linear decompositions and other advance analytics aren’t feasible · Some machine learning aspects, such as density based spatial clustering of applications with noise, moral plots, LISA cluster mapping etc., cannot be produced using IBM SPSS Statistics
  • Cross-tabulation
  • In-built inferential analyses
  • Data cleaning
  • Predictive modelling
  • IMB SPSS lacks some advanced analytics, such as multivariate decompostion
  • Non-linear fair lee decomposition
  • Advanced Spatial Analyses
  • Moran's plot
However, IBM SPSS Statistics has a time
savings impact. But, it is slow while handling the big data, more than 4 GB or 10 GB. So, it is wise to use IBM SPSS Statistics for small data sets, as the user interface sometimes breaks down while using
big data. Also, one can’t handle multi-data files in one window
IBM SPSS Statistics provides a quick result for
data, using easy clickable mouse options. This software helped in completing
the tasks before deadline. The software has features of producing some comprehensive
analyses with low effort. The software has produced some analytics that helped
in convincing the funders for business growth. I utilized the software’s
features for quick finding for future project proposals.
  • IBM SPSS Statistics
As a tech-lover, I used many software products,
such as Stata, R Studio, Python, Orange, Jupyter Notebook, MatLab, Julia,
Hadoop etc. Each software has its own specific features. However, I like open
source software, such as, R Studio and Python, as these software provide me
multiple options to do analysis, using in-built or external packages. One more
thing, with the help of an open source software, one can develop additional packages
for an advanced analysis. In comparison to open source software, IMB SPSS
Statistics provides an easy in-built options. These options save time of the
user like me at some extent for basic analyses.
IBM SPSS Statistics is good in producing basic
and some specific analyses, such as regression modeling, pair plot, scatter
plot, box plot etc. This software also provides an option to estimate 95% CI
with box plot (easy clickable option). There are various features like converting
complex text data into analysable data. The software can help a beginner with
no special training in handling. However, the software also provides an option
to use or write syntax for statistical analyses. But, the rules of syntax or
commands are completely restricted, as these are pre-defined texts or commands
for specific analyses. IBM SPSS Statistics lacks in, for producing results through
an advanced statistical analysis (using complex data).